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M. Kalarus, H. Schuh, W. Kosek, W. Kosek, O. Akyilmaz, C. Bizouard, D. Gambis, R. Gross, B. Jovanović, S. Kumakshev, H. Kutterer, P. Cerveira, S. Pasynok, L. Zotov (2010)
Achievements of the Earth orientation parameters prediction comparison campaignJournal of Geodesy, 84
J. Dow, W. Gurtner, W. Schlüter (2005)
The IGGOS viewed from the Space Geodetic ServicesJournal of Geodynamics, 40
W. Kosek, M. Kalarus, T. Niedzielski (2008)
Forecasting of the Earth orientation parameters - comparison of different algorithms
M. Kalarus, W. Kosek, H. Schuh (2007)
Current Results of the Earth Orientation Parameters Prediction Comparison Campaign, 2007
Xueqing Xu, Yonghong Zhou (2015)
EOP prediction using least square fitting and autoregressive filter over optimized data intervalsAdvances in Space Research, 56
Junyi Guo, Y. Li, C. Dai, C. Shum (2013)
A technique to improve the accuracy of Earth orientation prediction algorithms based on least squares extrapolationJournal of Geodynamics, 70
Yibin Yao, Shunqiang Yue, Peng Chen (2013)
A new LS+AR model with additional error correction for polar motion forecastScience China Earth Sciences, 56
Y Lei (2016)
Study on method for high accuracy prediction of earth rotation parameters
H Zhang (2012)
Researches on the prediction theories and algorithms of polar motion of earth orientation parameters
X. Xu (2015)
Researches on High Accuracy Prediction Methods of Earth Orientation Parameters, 56
Sun Zhangzhen, Xu Tianhe (2012)
Prediction of earth rotation parameters based on improved weighted least squares and autoregressive modelGeodesy and Geodynamics, 3
Xueqing Xu, L. Zotov, Y. Zhou (2012)
Combined Prediction of Earth Orientation Parameters
H. Schuh, M. Ulrich, Dieter Egger, Jürgen Müller, W. Schwegmann (2002)
Prediction of Earth orientation parameters by artificial neural networksJournal of Geodesy, 76
Xueqing Xu, Yonghong Zhou, X. Liao (2012)
Short-term earth orientation parameters predictions by combination of the least-squares, AR model and Kalman filterJournal of Geodynamics, 62
S. Torihashi, M. Kuwahara, M. Kurahashi (2007)
In vitro developmental model of the gastrointestinal tract from mouse embryonic stem cells.Nagoya journal of medical science, 69 3-4
(2013)
Research on the theories and algorithms of earth rotation parameters prediction
A. Freedman, J. Steppe, J. Dickey, T. Eubanks, Li-yu Sung (1994)
The short-term prediction of universal time and length of day using atmospheric angular momentumJournal of Geophysical Research, 99
Zhangzhen Sun, Tianhe Xu, Bing He, Gang Ren (2015)
Prediction and Analysis of Chinese Earth Rotation Parameters Based on Robust Least-Squares and Autoregressive Model, 341
Jiadong Sun, Jingnan Liu, Shiwei Fan, Xiaochun Lu (2015)
China Satellite Navigation Conference (CSNC) 2015 Proceedings: Volume III
Y Yao F Yan (2012)
Short-term prediction methods and realization of earth rotation parametersJ Geod Geodyn, 32
L. Völgyesi (2006)
Physical backgrounds of earth’s rotation, revision of the terminologyActa Geodaetica et Geophysica Hungarica, 41
W. Kosek, D. Mccarthy, T. Johnson, M. Kalarus (2004)
Comparison of polar motion prediction results supplied by the IERSsub-bureau for rapid service and predictions and results of otherprediction methods
Abstract This study employs a combination of weighted least-squares extrapolation and an autoregressive model to produce medium-term predictions of polar motion (PM) parameters. The precisions of PM parameters extracted from earth orientation parameter (EOP) products are applied to determine the weight matrix. This study employs the EOP products released by the analysis center of the ‘International Global Navigation Satellite System Service and International Earth Rotation and Reference Systems Service’ needs to be modified to ‘International Global Navigation Satellite System Service (IGS) and International Earth Rotation and Reference Systems Service (IERS)’ as primary data. The polar motion parameters and their precisions are extracted from the EOP products to predict the changes in polar motion over spans of 1–360 days. Compared with the combination of least-squares and autoregressive model, this method shows considerable improvement in the prediction of PM parameters.
Acta Geodaetica et Geophysica – Springer Journals
Published: Jun 1, 2018
Keywords: geophysics/geodesy
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